Analysis of Quantitative Investment Decision System in Financial Markets Based on Python

Authors

  • Ziju Hou

DOI:

https://doi.org/10.61173/1m1j9x05

Keywords:

Moving average strategy, Python, Financial engineering, Financial mathematics, Financial modeling

Abstract

The influence of computer technology in financial markets has escalated in recent years. Amidst the financially affluent markets brimming with data, decision analysis via quantitative investing leveraging computer technology enhances investment efficiency. Notably, it mitigates investment risks to some extent. From a business standpoint, the feasibility of quantitative investment projects can be observed with the assistance of computers, facilitating timely adjustments in business strategies to maximize corporate value. The resultant analysis serves as crucial reference material before listing.

This thesis will elaborate on the relevant theories of quantitative finance in economics, analyze cases of quantitative investing in financial markets, and establish an investment decision system with Python as the development platform supported by extensive data. It encompasses economic theory, data analysis, and computer technology, ultimately providing a practical platform of reference value for businesses and individuals, contributing to investors’ final decision- making.

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Published

2023-10-21

Issue

Vol. 1 No. 3 (2023): Volume 1, Issue 3

Section

Articles

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Copyright (c) 2023 by the authors.

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This work is licensed under a Creative Commons Attribution 4.0 International License.